| clim_cohort | 42 | 43 |
|---|---|---|
| Eden | 4 | 0 |
| Pelagie | 13 | 7 |
All seems OK with LMP dates, DOB, etc
| clim_center | preterm |
|---|---|
| Brittany | 123 (3.7%) |
| Grenoble | 20 (4.3%) |
| Nancy | 55 (5.7%) |
| Poitiers | 53 (5.8%) |
| clim_center | Winter | Spring | Summer | Autumn |
|---|---|---|---|---|
| Brittany | 28 (3.4%) | 30 (3.8%) | 36 (4%) | 29 (3.7%) |
| Grenoble | 8 (5.6%) | 4 (4.2%) | 2 (2%) | 6 (4.5%) |
| Nancy | 9 (5%) | 11 (5.1%) | 21 (6.2%) | 14 (6.3%) |
| Poitiers | 17 (6.5%) | 9 (5.1%) | 14 (7%) | 13 (4.7%) |
With censorship at 37 GW
Temperature indicator distributions of all daily points for the backward model
All daily points of women included in the cohort
Spearman correlations between mean humidity and temp:
| cohort | cor |
|---|---|
| Eden | -0.51 |
| Pelagie | -0.36 |
| Sepages | -0.47 |
Weekly temp and SD for all women included in the study
All daily points of women included in the cohort
Spearman correlations between mean humidity and temp SD:
| cohort | cor |
|---|---|
| Eden | 0.06 |
| Pelagie | 0.09 |
| Sepages | 0.34 |
| cohort | cor |
|---|---|
| Eden | -0.07 |
| Pelagie | -0.14 |
| Sepages | 0.14 |
| cohort | cor |
|---|---|
| Eden | -0.47 |
| Pelagie | -0.38 |
| Sepages | -0.11 |
By trimester:
Time to event with censorship at 37 gw
| df_var | df_lag | t_mean | rh_mean | t_sd | rh_sd |
|---|---|---|---|---|---|
| 2 | 2 | 4534.3 | 4537.3 | 4536.1 | 4537.7 |
| 2 | 3 | 4537.3 | 4538.2 | 4530.9 | 4541.1 |
| 2 | 4 | 4540.5 | 4542.1 | 4534.2 | 4531.4 |
| 2 | 5 | 4544.5 | 4544 | 4530.2 | 4535 |
| 2 | 6 | 4547 | 4545.5 | 4534 | 4538.6 |
| 3 | 2 | 4537.1 | 4540 | 4539.2 | 4541.2 |
| 3 | 3 | 4539.7 | 4543.2 | 4535.1 | 4545.5 |
| 3 | 4 | 4544.2 | 4548.8 | 4539.5 | 4537.5 |
| 3 | 5 | 4547.6 | 4552.5 | 4536.8 | 4541.6 |
| 3 | 6 | 4552.4 | 4556 | 4542.1 | 4547.2 |
| 4 | 2 | 4541.1 | 4543.8 | 4537.7 | 4544.4 |
| 4 | 3 | 4545.3 | 4548.8 | 4535.8 | 4551 |
| 4 | 4 | 4551.7 | 4556.3 | 4536.7 | 4544.5 |
| 4 | 5 | 4556.9 | 4559.2 | 4536 | 4550.4 |
| 4 | 6 | 4562.9 | 4565.9 | 4543 | 4555.5 |
| 5 | 2 | 4542.3 | 4545.9 | 4535.3 | 4546.5 |
| 5 | 3 | 4547.3 | 4552.3 | 4536.6 | 4549 |
| 5 | 4 | 4552.6 | 4561.8 | 4539.3 | 4545.4 |
| 5 | 5 | 4558.5 | 4566.3 | 4540.2 | 4553.3 |
| 5 | 6 | 4563.4 | 4574 | 4549.1 | 4560.3 |
| 6 | 2 | 4545.7 | 4542.4 | 4536.5 | 4548.5 |
| 6 | 3 | 4549.4 | 4550.4 | 4538.2 | 4552.2 |
| 6 | 4 | 4556.6 | 4560.9 | 4543.1 | 4551.1 |
| 6 | 5 | 4563.2 | 4566.4 | 4544.1 | 4556.8 |
| 6 | 6 | 4568.3 | 4572.9 | 4554.5 | 4564.5 |
Hazard ratio:
Dose response projections:
Lag projections:
Hazard ratio:
Dose response preojections:
Lag projections:
Hazard ratio:
Dose response projections:
Lag projections:
Hazard ratio:
Dose response projections:
Lag projections:
| df_var | df_lag | t_mean | rh_mean |
|---|---|---|---|
| 2 | 2 | 4518.3 | 4521.4 |
| 2 | 3 | 4522.3 | 4518.6 |
| 2 | 4 | 4524.8 | 4522.4 |
| 2 | 5 | 4523.9 | 4523.8 |
| 2 | 6 | 4525.8 | 4527.4 |
| 3 | 2 | 4522.1 | 4524.2 |
| 3 | 3 | 4528.1 | 4523.3 |
| 3 | 4 | 4532.3 | 4528.7 |
| 3 | 5 | 4532.3 | 4532.2 |
| 3 | 6 | 4533.4 | 4537.3 |
| 4 | 2 | 4523.8 | 4527.9 |
| 4 | 3 | 4530.1 | 4527.9 |
| 4 | 4 | 4535.5 | 4533.2 |
| 4 | 5 | 4536.7 | 4538.5 |
| 4 | 6 | 4540.2 | 4545.2 |
| 5 | 2 | 4522.1 | 4530.2 |
| 5 | 3 | 4528.5 | 4532.2 |
| 5 | 4 | 4536.1 | 4538.6 |
| 5 | 5 | 4536.6 | 4545.1 |
| 5 | 6 | 4541.8 | 4551.6 |
| 6 | 2 | 4525 | 4530.1 |
| 6 | 3 | 4531.8 | 4534 |
| 6 | 4 | 4539.4 | 4542.1 |
| 6 | 5 | 4542.7 | 4550.5 |
| 6 | 6 | 4549.2 | 4556.3 |
Hazard ratio:
Projections:
Cumulative:
Hazard ratio:
Projections:
Cumulative: